Using machine learning techniques to enhance the performance of an automatic backup and recovery system. - Dan Pelleg; Eran Raichstein; Amir Ronen (SYSTOR, 2010)

EnforSDN: Network policies enforcement with SDN. - Yaniv Ben-Itzhak; Katherine Barabash; Rami Cohen; Anna Levin; Eran Raichstein (IM, 2015)

NoEncap: overlay network virtualization with no encapsulation overheads. - Sergey Guenender; Katherine Barabash; Yaniv Ben-Itzhak; Anna Levin; Eran Raichstein; Liran Schour (SOSR, 2015)

CogNETive: insights and visualization for operations@scale. - Dean H. Lorenz; Eran Raichstein; Katherine Barabash; Hillel Kolodner; Liran Schour; Shelly Garion (SYSTOR, 2017)

Heterogeneous Resource Reservation. - Ofer Biran; David Breitgand; Dean H. Lorenz; Michael Masin; Eran Raichstein; Avi Weit; Ilyas Iyoob (IC2E, 2018)

SliceNet: Cognitive Slice Management Framework for Virtual Multi-Domain 5G Networks. - Dean H. Lorenz; V. Perelman; Eran Raichstein; Katherine Barabash; Aidan Shribman (SYSTOR, 2018)

Exploring and troubleshooting istio issues. - Tomer Lange; Aidan Shribman; Eran Raichstein; Katherine Barabash (SYSTOR, 2019)

Estimating client QoE from measured network QoS. - Kenneth Nagin; Andre Kassis; Dean H. Lorenz; Katherine Barabash; Eran Raichstein (SYSTOR, 2019)

Noisy neighbor detection using skydive. - Ofir Zeilig; Noa Bratman; Itzik Ashkenazi; Eran Raichstein; Anna Levin; Katherine Barabash (SYSTOR, 2019)

DeCorus-NSA: detection and correlation of unusual signals for network syslog analytics. - David Ohana; Bruno Wassermann; Moshik Hershcovitch; Elliot K. Kolodner; Michal Malka; Eran Raichstein; Ronen Schaffer; Robert Shahla (SYSTOR, 2021)

Hybrid anomaly detection and prioritization for network logs at cloud scale. - David Ohana; Bruno Wassermann; Nicolas Dupuis; Elliot K. Kolodner; Eran Raichstein; Michal Malka (EuroSys, 2022)

Smart network metrics derivation from flow logs. - Kalman Meth; Eran Raichstein; Katherine Barabash; Ronen Schaffer; Joel Takvorian; Mario Macías (SYSTOR, 2022)

DeCorus: Hierarchical Multivariate Anomaly Detection at Cloud-Scale. - Bruno Wassermann; David Ohana; Ronen Schaffer; Robert Shahla; Elliot K. Kolodner; Eran Raichstein; Michal Malka (CoRR, 2022)

Smart Network Observability - Connection Tracking. - Ronen Schaffer; Eran Raichstein; Kalman Meth; Joel Takvorian; Julien Pinsonneau (SYSTOR, 2023)

Enabling Multi Cloud Observability. - Priyanka Naik; Seep Goel; Eran Raichstein; Chander Govindarajan; Praveen Jayachandran (COMSNETS, 2024)

Designing a Lightweight Network Observability Agent for Cloud Applications. - Pravein Govindan Kannan; Shachee Mishra Gupta; Dushyant Behl; Eran Raichstein; Joel Takvorian (PAM (1), 2024)

Enabling Intelligent Observability Volume Management. - Priyanka Naik; Seep Goel; Eran Raichstein; Kalman Meth; Kavya Govindarajan; Aishwariya Chakraborty; Chander Govindarajan (COMSNETS, 2025)